Intelligence Layer
HLNA AI
The shared intelligence layer across HLNA Labs.
Search Intelligence
Search visibility without the guesswork.
01
Essio looks at a website the way a search engine does, combines that with how the site is actually performing in search, and turns the result into a short, ordered list of things worth doing.
Its central question is simple: what should I fix next, and why?
02
Most SEO tools are very good at finding problems and much less good at deciding which ones matter. A typical audit produces hundreds of warnings with similar severity labels and leaves the site owner to work out which of them actually affect visibility.
Technical findings and search performance usually live in different tools. A missing canonical tag on a page nobody searches for is not the same problem as the same tag missing from the page that brings in most of a site's traffic.
03
Essio builds a model of the site from its own crawl — pages, metadata, internal links, structured data, crawlability and indexability — and joins it with Search Console data on queries and page performance.
A transparent rules engine evaluates that model. AI-assisted prioritisation then weighs each finding against real search data and likely effort, so recommendations arrive in order, with the reasoning attached.
Monitoring keeps it current. Essio is designed to notice when something changes, rather than producing a one-off report that is out of date a week later.
04
What Essio is being built to cover.
05
How Essio reaches a recommendation
06
Essio is in development and is not yet publicly available.
HLNA Labs and Brainbase are likely to be among its first real-world users, so it will be tested on sites we are responsible for before it is offered to anyone else.
Product site
None yet. This page will link to one when Essio has a public home of its own.